With the growing prevalence of artificial intelligence (AI) in educational settings, this research aimed to understand how AI-based assessments affect EFL learners beyond just language proficiency. Therefore, this study explored the impacts of integrating AI-driven listening exams on foreign language learners' mindsets, self-competence,…

Although AI technologies show great promise for education, their inclusion into assessment systems has generated debates regarding student motivation, anxiety, learning opportunities, and academic results. This study explored the influence of teacher support in AI-assisted exams on L2 learners' demotivation, anxiety, L2 learning experience, and…

This research explores Iranian teachers' and students' attitudes toward using e-portfolios for speaking assessment in an institutional context. This qualitative study involved 12 intermediate students as well as 14 EFL teachers at an English language institute (Safir) in Tehran, Iran. Data were gathered through interviews and focus group…

In recent years, the incorporation of artificial intelligence (AI) into instructional settings has sparked important interest in how it can develop different aspects of language learning, principally in the realm of assessment. While traditional assessment methods have long been central to evaluating learners' progress, the rise of AI tools…

Some impediments in language learning may have a detrimental impact on learners' actual performance on the test and lead to anxiety and demotivation. Language achievement is influenced by self-assessment (SA), academic resilience (AR), academic motivation (AM), and test-taking skills (T-TS) among other factors. Considering the relevance of these…

This study investigates the efficacy of a new testing tool, a Web-based application known as the Academic Writing Wizard (AWW), in creating a unified English technology-based writing curriculum in the Arabian Gulf countries, focusing particularly on the case of Oman. The application was piloted in three Oman high schools selected by the Omani…

This study investigates the impact of artificial intelligence (AI)-assisted assessment on young L2 learners' vocabulary knowledge, immunity, and resilience, considering parental and teacher support roles. Sixty junior high school students in Afghanistan, aged 13 to 14, participated in the study. They were divided into an experimental group…

The purpose of the current study was twofold: examining the efficacy of data-driven learning (DDL) (hands-on and hands-off approaches) in the realization of interactional metadiscourse markers (IMMs) among English as a foreign language (EFL) learners and analyzing the learners' perceptions of DDL. The participants consisted of 93 male and female…

In recent decades, technology has changed the methods of teaching and assessment in educational settings all over the world. One notable innovation that has gained prominence in English language teaching (ELT) is the utilization of e-portfolios to evaluate and enhance students' writing and, potentially, speaking skills. While students have shown…

This research paper explores podcasting as a viable assessment technique in current academic English language teaching pedagogy. The study was done with two 3rd-year university classes who created the podcast in groups of four as an academic English-speaking exam with the goal being to enhance the student's intrinsic and extrinsic motivation,…

This study inspected how techno-competence in artificial intelligence (AI)-driven evaluations affected EFL learners' boredom, self-esteem, and writing skills. To do so, 66 Saudi Arabian male students from Saudi Arabia participated in the study. They were then split into the experimental group (EG) and the control group (CG). While the CG was…

There has been a surge in employing artificial intelligence (AI) in all areas of language pedagogy, not the least among them language testing and assessment. This study investigated the effects of AI-powered tools on English as a Foreign Language (EFL) learners' speaking skills, psychological well-being, autonomy, and academic buoyancy. Using a…

In recent years, Intelligent Computer-Assisted Language Assessment (ICALA) has emerged as a transformative approach in language education, leveraging technology to enhance student assessment and learning processes. Despite its growing importance, there is a scarcity of research investigating the connections among needs satisfaction, teacher…

While over the last couple of years, there has been a growing investigation into the use of Artificial Intelligence (AI) within language learning, very little has been written regarding how such AI feedback influences the complex experiences of EFL learners in terms of motivation, foreign language peace of mind (FLPoM), trait emotional…

Background: The use of computers has increased in speaking assessments; however, there are concerns about how the absence of an interlocutor affects performance on speaking tests. Method: In the current study, the test scores and the underlying factor structures of monologic tasks were compared between two delivery modes: computer delivery and…